Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

Obtaining a" snapshot" of the Internet topology remains an elusive task. Existing active
topology discovery techniques and systems require significant probing time--time during …

In 2003, Wang and Gao [67] presented an algorithm to infer and characterize routing
policies as this knowledge could be valuable in predicting and debugging routing paths …

Knowledge of Internet paths allows operators and researchers to better understand the
Internet and troubleshoot problems. Paths are often asymmetric, so measuring just the …

Today's enterprises are adopting multi-cloud strategies at an unprecedented pace. Here, a
multi-cloud strategy specifies end-to-end connectivity between the multiple cloud providers …

We revisit the use of crowdsourced throughput measurements to infer and localize
congestion on end-to-end paths, with particular focus on points of interconnections between …

IP geolocation is one of the most widely used forms of metadata for IP addresses, and
despite almost twenty years of effort from the research community, the reality is that there is …

The network communications between the cloud and the client have become the weak link
for global cloud services that aim to provide low latency services to their clients. In this …

Many systems rely on traceroutes to monitor or characterize the Internet. The quality of the
systems' inferences depends on the completeness and freshness of the traceroutes, but the …

We describe a new system for distributed tracing at the IP level of the routes that packets
take through the IPv4 internet. Our Zeph algorithm coordinates route tracing efforts across …